Noa Carrera

The paper identifies genetically distinct patient subgroups across diseases by analyzing polygenic risk and pathway convergence.

This study identifies somatic copy number variants (sCNVs) in schizophrenia cases, revealing their contribution to risk and specific NRXN1 disruptions.

The paper uses brain cell-type-specific protein interactomes to interpret genetic data in schizophrenia and identifies enriched networks and genes associated with the disease.

This study identifies sex-dependent genetic risk loci shared and specific to mood and psychotic disorders using genome-wide interaction analysis.

The paper compares ten polygenic score methods for psychiatric disorders across multiple cohorts, finding that some methods significantly improve prediction statistics over the baseline PC+T method.

The paper analyzes rare and common alleles in schizophrenia trios, identifying rare missense variants in SLC6A1 and confirming the role of neurodevelopmental disorder genes.

The paper finds a genetic association between schizophrenia risk and age at first birth in women, with different genetic correlations in younger and older age groups.

This study identifies 114 genome-wide significant loci for schizophrenia and bipolar disorder, with specific subphenotype associations and four genes distinguishing the disorders.

This study compares LDSC and GREML methods for estimating genetic correlation, showing GREML provides higher accuracy, especially in the presence of genetic heterogeneity.

The paper identifies an excess of rare loss-of-function and missense mutations in voltage-gated sodium channels and synaptic genes associated with schizophrenia using large-scale sequencing and meta-analysis.

This study identifies 50 novel schizophrenia GWAS loci and shows common risk variants are enriched in mutation-intolerant genes maintained by background selection.